测控技术2017，Vol.36Issue(12)：15-19,5.
基于SACON模型和五帧差分法的目标检测算法
Object Detection Algorithm Based on SACON Model and Five-Frame Difference
摘要
Abstract
On the basis of fully studying the existing target motion detection algorithm,to solve the problems in current moving object detecting algorithm,such as likely to be influenced by illumination and noise,and difficult to extract the complete moving object,a new moving object detection algorithm combining SACON background model and five-frame difference method is proposed.The moving region is obtained by improving the traditional SACON method,combining with the moving object extracted by five-frame difference algorithm,using the dynamic threshold to adapt to sudden change of light ray,by means of post-processing such as pin-hole filling,the moving foreground image is achieved by integration.This algorithm effectively processes pin-hole and noise issues with better real-time property and anti-jamming capability,which can accurately detect moving object.关键词
SACON算法/五帧差分法/运动目标检测/连通域检测Key words
SACON algorithm/five-frame difference/moving object detection/connected region detection分类
信息技术与安全科学引用本文复制引用
朱世松,付万超..基于SACON模型和五帧差分法的目标检测算法[J].测控技术,2017,36(12):15-19,5.基金项目
河南省国际科技合作项目(084300510065) （084300510065）
河南省教育厅科学技术研究重点项目(13A520340) （13A520340）
河南理工大学博士基金项目(B2010-95) （B2010-95）
河南省高等学校矿山信息化重点学科开放实验室开放基金资助项目(KZ2012-02) （KZ2012-02）
